


import glob
import os
import random
from string import ascii_lowercase, digits

import cva
_SCREAMING_SNAKE_CASE     :					int      =       ""
_SCREAMING_SNAKE_CASE     :					Tuple      =       ""
_SCREAMING_SNAKE_CASE     :					int      =       ""
_SCREAMING_SNAKE_CASE     :					Union[str, Any]      =       1  # (0 is vertical, 1 is horizontal)
def      UpperCAmelCase__		():



     """simple docstring"""






     snake_case					,    snake_case											=							get_dataset(UpperCamelCase_				,UpperCamelCase_							)
     print('''Processing...'''							)
     snake_case					,    snake_case					,    snake_case											=							update_image_and_anno(UpperCamelCase_				,UpperCamelCase_				,UpperCamelCase_							)

     for index, image in enumerate(UpperCamelCase_							):
          # Get random string code: '7b7ad245cdff75241935e4dd860f3bad'
          snake_case											=							random_chars(32							)
          snake_case											=							paths[index].split(os.sep							)[-1].rsplit('''.'''				,1							)[0]
          snake_case											=							F'''{OUTPUT_DIR}/{file_name}_FLIP_{letter_code}'''
          cva.imwrite(F'''/{file_root}.jpg'''				,UpperCamelCase_				,[cva.IMWRITE_JPEG_QUALITY, 85]							)
          print(F'''Success {index+1}/{len(UpperCamelCase_							)} with {file_name}'''							)
          snake_case											=							[]
          for anno in new_annos[index]:
               snake_case											=							F'''{anno[0]} {anno[1]} {anno[2]} {anno[3]} {anno[4]}'''
               annos_list.append(UpperCamelCase_							)
          with open(F'''/{file_root}.txt'''				,'''w'''							) as outfile:
               outfile.write('''\n'''.join(line for line in annos_list							)							)
def      UpperCAmelCase__		(UpperCamelCase_				,UpperCamelCase_							):



     """simple docstring"""






     snake_case											=							[]
     snake_case											=							[]
     for label_file in glob.glob(os.path.join(UpperCamelCase_				,'''*.txt'''							)							):
          snake_case											=							label_file.split(os.sep							)[-1].rsplit('''.'''				,1							)[0]
          with open(UpperCamelCase_							) as in_file:
               snake_case											=							in_file.readlines()
          snake_case											=							os.path.join(UpperCamelCase_				,F'''{label_name}.jpg'''							)

          snake_case											=							[]
          for obj_list in obj_lists:
               snake_case											=							obj_list.rstrip('''\n'''							).split(''' '''							)
               boxes.append(
                   [
                       int(obj[0]							),
                       float(obj[1]							),
                       float(obj[2]							),
                       float(obj[3]							),
                       float(obj[4]							),
                   ]							)
          if not boxes:
               continue
          img_paths.append(UpperCamelCase_							)
          labels.append(UpperCamelCase_							)
     return img_paths, labels
def      UpperCAmelCase__		(UpperCamelCase_				,UpperCamelCase_				,UpperCamelCase_ = 1							):



     """simple docstring"""






     snake_case											=							[]
     snake_case											=							[]
     snake_case											=							[]
     for idx in range(len(UpperCamelCase_							)							):
          snake_case											=							[]
          snake_case											=							img_list[idx]
          path_list.append(UpperCamelCase_							)
          snake_case											=							anno_list[idx]
          snake_case											=							cva.imread(UpperCamelCase_							)
          if flip_type == 1:
               snake_case											=							cva.flip(UpperCamelCase_				,UpperCamelCase_							)
               for bbox in img_annos:
                    snake_case											=							1 - bbox[1]
                    new_annos.append([bbox[0], x_center_new, bbox[2], bbox[3], bbox[4]]							)
          elif flip_type == 0:
               snake_case											=							cva.flip(UpperCamelCase_				,UpperCamelCase_							)
               for bbox in img_annos:
                    snake_case											=							1 - bbox[2]
                    new_annos.append([bbox[0], bbox[1], y_center_new, bbox[3], bbox[4]]							)
          new_annos_lists.append(UpperCamelCase_							)
          new_imgs_list.append(UpperCamelCase_							)
     return new_imgs_list, new_annos_lists, path_list
def      UpperCAmelCase__		(UpperCamelCase_ = 32							):



     """simple docstring"""






     assert number_char > 1, "The number of character should greater than 1"
     snake_case											=							ascii_lowercase + digits
     return "".join(random.choice(UpperCamelCase_							) for _ in range(UpperCamelCase_							)							)


if __name__ == "__main__":
 main()
 print("DONE ✅")








from collections import OrderedDict
from typing import Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


_SCREAMING_SNAKE_CASE     :					Optional[Any]      =       logging.get_logger(__name__)

_SCREAMING_SNAKE_CASE     :					int      =       {
    "facebook/deit-base-distilled-patch16-224": (
        "https://huggingface.co/facebook/deit-base-patch16-224/resolve/main/config.json"
    ),
    # See all DeiT models at https://huggingface.co/models?filter=deit
}

class     A__   (       snake_case__      ):







    """simple docstring"""

    __magic_name__         =						'deit'
    def __init__(			self     ,   __snake_case=7_6_8     ,   __snake_case=1_2     ,   __snake_case=1_2     ,   __snake_case=3_0_7_2     ,   __snake_case="gelu"     ,   __snake_case=0.0     ,   __snake_case=0.0     ,   __snake_case=0.02     ,   __snake_case=1E-12     ,   __snake_case=2_2_4     ,   __snake_case=1_6     ,   __snake_case=3     ,   __snake_case=True     ,   __snake_case=1_6     ,   **__snake_case     ,   ):
         super().__init__(**__snake_case       )

         snake_case											=							hidden_size
         snake_case											=							num_hidden_layers
         snake_case											=							num_attention_heads
         snake_case											=							intermediate_size
         snake_case											=							hidden_act
         snake_case											=							hidden_dropout_prob
         snake_case											=							attention_probs_dropout_prob
         snake_case											=							initializer_range
         snake_case											=							layer_norm_eps
         snake_case											=							image_size
         snake_case											=							patch_size
         snake_case											=							num_channels
         snake_case											=							qkv_bias
         snake_case											=							encoder_stride






class     A__   (       snake_case__      ):







    """simple docstring"""

    __magic_name__         =						version.parse('1.11'      )
    @property
    def 						a_     (			self       ):
         return OrderedDict(
             [
                 ('''pixel_values''', {0: '''batch''', 1: '''num_channels''', 2: '''height''', 3: '''width'''}),
             ]       )




    @property
    def 						a_     (			self       ):
         return 1E-4




